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🏢 University of Wisconsin-Madison

AHA: Human-Assisted Out-of-Distribution Generalization and Detection
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Machine Learning Active Learning 🏢 University of Wisconsin-Madison
AHA: Human-assisted OOD learning maximizes OOD generalization and detection by strategically labeling data in a novel maximum disambiguation region, significantly outperforming existing methods with o…
Active Learning of General Halfspaces: Label Queries vs Membership Queries
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Machine Learning Active Learning 🏢 University of Wisconsin-Madison
Active learning for general halfspaces is surprisingly hard; membership queries are key to efficiency.
Accelerating Augmentation Invariance Pretraining
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Computer Vision Self-Supervised Learning 🏢 University of Wisconsin-Madison
Boost Vision Transformer pretraining speed by 4x with novel sequence compression techniques!
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
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AI Generated Machine Learning Deep Learning 🏢 University of Wisconsin-Madison
Multi-task learning with shallow ReLU networks yields almost always unique solutions equivalent to kernel methods, unlike single-task settings.